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Comparison of Three Maps at Multiple Resolutions

A Case Study of Land Change Simulation in Cho Don District, Vietnam

Bibliographic Data

ID8376048
AuthorsRobert Gilmore Pontius (0000-0001-7287-5875, Clark University), Smitha Peethambaram, Jean-Christophe Castella (0000-0003-3532-0728, Center for International Forestry Research)
Year2011
Volume101
Issue1
Pages45-62
Publication date2011-01-21
Open AccessNo
TypeARTICLE
VenueAnnals of the Association of American Geographers (JOURNAL)
Journal identifiersISSN: 0004-5608 • E-ISSN: 1467-8306
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00045608.2010.517742
OpenAlexW1981872228
LanguageEN
Citations received18
References cited36

Geographic modelers frequently compare maps of observed land transitions to maps of simulated land transitions to relate the patterns in reference maps to the output from a simulation model. Pixel-by-pixel analysis of raster maps at a single resolution is useful for this task at a single scale, but scientists often need to consider additional scales. This article presents methods to satisfy this need by proposing a multiple-resolution method to compare land categories in three maps: a reference map of time 1, a reference map of time 2, and a simulation map of time 2. The method generates a three-dimensional table that gives the percentage of the study area for each combination of categories at the maps’ native resolution and at several nested sets of coarser squares. The method differentiates allocation disagreement within coarse squares, allocation disagreement among coarse squares, quantity disagreement, and agreement. We illustrate the method with output from a run of the SAMBA agent-based model from 1990 to 2001 using 32-m resolution pixels for Cho Don District, Vietnam. Results show that half of the overall disagreement is attributable to allocation disagreement within squares that are 506 m × 506 m, which is about the average size of a village. Much of the remaining disagreement is misallocation of forest and shrub between the northern and southern parts of the district, which is caused by differences between the data and the simulation concerning transitions from the crop and shrub categories

Cartography · Geography · Land cover · Land use · Pixel · Raster graphics · Resolution (logic) · Scale (ratio) · Shrub · Statistics · Artificial Intelligence · Computer Science · Ecology · Land Use and Ecosystem Services · Mathematics · Remote Sensing in Agriculture · Species Distribution and Climate Change

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Citations per year1.29
Citation span2012 - 2025 (14)
Highly citedNo

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